论文部分内容阅读
目的分析慢性丙型肝炎发展为肝细胞癌(HCC)过程中的差异表达基因谱。方法以GEO数据库的基因表达谱数据GDS4880、GDS4887为分析材料,采用Qlucore Omics Explorer 3.0软件筛选慢性丙型肝炎与丙型肝炎病毒(HCV)相关性肝细胞癌芯片数据的差异表达基因,结合生物信息学工具PANTHER、DAVID、STRING、Cytoscape对差异表达基因及其相互作用关系进行分析。结果筛选出共差异表达基因328个,其中上调表达133个,下调表达195个。这些差异表达基因主要涉及代谢过程、生物调节、定位等生物过程,p53信号通路、胰岛素信号通路、磷脂酰肌醇信号系统、细胞凋亡等信号通路。差异表达基因编码蛋白间的相互作用主要集中在14个蛋白质(CYP2B6、CYP2E1、AKT1、CDK16、RELA、CDC27、PIK3CA、GNB1、FOXO1、FYN、PDPK1、SCAND1、SGOL1、RPH3AL)。结论 CYP2E1等14个基因可能与HCV相关性肝细胞癌的发生发展相关。
Objective To analyze differentially expressed gene profiles in the development of chronic hepatitis C into hepatocellular carcinoma (HCC). Methods The gene expression profiles of GEO database GDS4880 and GDS4887 were used as materials to screen the differentially expressed genes of hepatitis C virus (HCV) -related hepatocellular carcinoma (HCC) microarray data using Qlucore Omics Explorer 3.0 software. Combined with bioinformatics Learning tools PANTHER, DAVID, STRING, Cytoscape differentially expressed genes and their interaction analysis. Results A total of 328 differentially expressed genes were screened, of which 133 were up-regulated and 195 down-regulated. These differentially expressed genes mainly involved in the metabolic processes, biological regulation, localization and other biological processes, p53 signaling pathway, insulin signaling pathway, phosphatidylinositol signaling system, apoptosis and other signaling pathways. Differentially expressed genes mainly involved in protein-protein interactions in 14 proteins (CYP2B6, CYP2E1, AKT1, CDK16, RELA, CDC27, PIK3CA, GNB1, FOXO1, FYN, PDPK1, SCAND1, SGOL1, RPH3AL). Conclusion 14 genes such as CYP2E1 may be related to the occurrence and development of HCV-related hepatocellular carcinoma.